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COMING UP

Asian Tech Week
Nov 16 - Nov 20
 
 
 
 
 
 
 
 
 
 
Popular Event 
With Geoffrey Hinton (Godfather of AI & Nobel Prize winner).
Nov 09 (Mon) @ 06:00 PM       FREE
Venue, Online

 
      Register      
 
The Hinton Lectures is an annual three-part lecture series presented by the AI Safety Foundation & hosted by Professor Geoffrey Hinton, 2024 Nobel Laureate in Physics. The series brings leading voices in AI safety to Toronto to examine some of the most consequential questions surrounding increasingly capable AI systems.
Nov. 911, 2026 | 6:007:30 p.m.
Doors open at 5:30 p.m.
John W. H. Bassett Theatre | MTCC
Attend in person or online
The 2026 series features Paul Christiano, Executive Director & Founder of the Alignment Research Center, whose work focuses on aligning future machine learning systems with human interests. He will be joined by moderator Snead Bovell, strategic foresight advisor & Founder of WAYE, whose work explores how emerging technologies are reshaping economies, institutions & society.

The Hinton Lectures is proudly supported by Presenting Partner Manulife, by Founding Partner Global Risk Institute (GRI) & by TELUS as an evening sponsor. Their combined support underscores the growing importance of industry leadership in the safe & ethical development of AI.

Across three evenings, the series will examine Evidence, Oversight & Coordination, moving from what we know about AI alignment today to the challenge of maintaining control over increasingly capable systems and, ultimately, how transformative AI should be governed.
Night 1: Evidence
AI alignment: whats working & whats not
The opening lecture examines AI alignment through the evidence we have today: where existing approaches appear to be working, where they are falling short & what remains unresolved.
Night 2: Oversight
Staying in control of self-improving AI
The second lecture turns to oversight & the challenge of maintaining meaningful control as AI systems become increasingly capable & able to improve their own performance.
Night 3: Coordination
Governing transformative AI
The final lecture examines coordination & governance, asking what will be required to manage transformative AI responsibly as its capabilities & implications extend beyond any single organization or institution.

Attending in person?
Please arrive early for the best available seating. After booking, you'll receive an order confirmation for your overall purchase, followed by a separate confirmation for each lecture night, each with its own QR code. At the door, please show that evening's QR code. Your order confirmation isn't valid for entry.

Attending as a group?
One QR code covers your whole group for that night, so please arrive together.

Attending as a student?
Student ticket holders, please bring valid student ID.
 
 
 
 
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